This notebook contains the complete implementation and usage example of the HierarchicalRulesExplorer class for near-deterministic association rule discovery and anomaly detection in structured dat...

Tabular Transformers for Clinical Biostatistics Data This notebook demonstrates how to apply Tabular Transformers to a clinical biostatistics dataset with a mix of numerical and categorical featur...

This notebook presents a framework for anomaly detection using autoencoders implemented in PyTorch. The approach leverages a neural network autoencoder for both dimensionality reduction and reconst...

TabularGAN for Anomaly Detection in Clinical Data This notebook demonstrates an application of Generative Adversarial Networks (GANs) for anomaly detection in structured clinical data using: A...